access icon free Multiplier supporting accuracy and energy trade-offs for recognition applications

The need to support various recognition applications on energy-constrained mobile computing devices has steadily grown. Exploiting common characteristics of recognition algorithms, a very energy-efficient multiplier that can support a runtime trade-off between computational accuracy and energy consumption is proposed. Compared to a precise multiplier, the proposed multiplier consumes 11.6×–3.2× less energy per multiplication while achieving 82–99% of the computational accuracy with negligible negative impact on recognition accuracy for three different recognition applications.

Inspec keywords: matrix decomposition; human computer interaction; power aware computing; pattern recognition; digital arithmetic

Other keywords: energy consumption; energy-efficient multiplier; multiplier supporting accuracy; recognition applications; energy trade-offs; energy-constrained mobile computing devices; human–machine interaction

Subjects: Digital arithmetic methods; Performance evaluation and testing; Algebra; Environmental aspects of computing

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2013.4212
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